Artificial Intelligence Application in Education: A Systematic Study

Rishwinder Singh Baidwan*, Radhika**, Rakesh Kumar***
*-** Department of Computer Science & Engineering, Chandigarh Group of Colleges, Landran, Mohali, Punjab, India.
*** Department of Regulatory Affairs and Quality Assurance, Auxein Medical Pvt. Ltd., Sonipat, Haryana, India.
Periodicity:April - June'2024

Abstract

Artificial intelligence technology has become widely used in many industries, including healthcare, agriculture, banking, social security, and home furnishings, due to the rise and development of this discipline. One of the newest areas of technology in the education industry is AI in Education, where extensive research supports instructional procedures. Artificial intelligence can analyze human data using feature engineering or feature learning, handling data irrespective of a specific model. Education is a crucial component of the evolution of civilization, encompassing methodology, substance, concepts, and models. Engineers can design, build, and enhance artificial intelligence systems that mimic human intellect and possess intelligence akin to the human brain using basic AI algorithms. This paper aims to provide an overview of AI applications in higher education institutions. The use of AI in education has significantly transformed educational standards. To prepare individuals for a future driven by AI, the study examines various AI applications, emphasizing the critical role that public institutions play in supporting AI skills development, forming alliances, and sponsoring academic achievements.

Keywords

Artificial Intelligence, Education, Real field implementation.

How to Cite this Article?

Baidwan, R. S., Radhika, and Kumar, R. (2024). Artificial Intelligence Application in Education: A Systematic Study. i-manager’s Journal of Educational Technology, 21(1), 56-74.

References

[2]. Acharya, S. (2015). Popular Culture and English Language Learning: A Study among Youth in India (Doctoral dissertation, Department of Humanities and Social Sciences National Institute of Technology, Rourkela, India).
[3]. Akerkar, R., & Sajja, P. (2009). Knowledge-Based Systems. Jones & Bartlett Publishers.
[6]. Atkinson, R. D. (2018). "It is going to kill us!" and other myths about the future of artificial intelligence. IUP Journal of Computer Sciences, 12(4), 7-56.
[18]. Cipolla, R., Pentland, A., & Pentland, A. P. (Eds.). (1998). Computer Vision for Human- Machine Interaction. Cambridge university press.
[25]. Fang, J., Su, H., & Xiao, Y. (2018). Will artificial intelligence surpass human intelligence? SSRN (pp. 1-9).
[27]. Fetzer, J. H., & Fetzer, J. H. (1990). What is Artificial Intelligence? Springer Netherlands.
[28]. Fleming, S. M. (2021). Know Thyself: The New Science of Self-Awareness. Hachette UK.
[30]. Fulton, K. P. (2014). Time for Learning: Top 10 Reasons Why Flipping the Classroom Can Change Education. Corwin Press.
[40]. Hapke, H., Howard, C., & Lane, H. (2019). Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python. Simon and Schuster.
[54]. Khuri, S., Bäck, T., & Heitkötter, J. (1994, March). An Evolutionary Approach to Combinatorial Optimization Problems. In ACM Conference on Computer Science (pp. 66-73).
[58]. Kopetz, H., & Steiner, W. (2022). Real-Time Systems: Design Principles for Distributed Embedded Applications. Springer Nature.
[64]. Kulkarni, P. (2012). Reinforcement and Systemic Machine Learning for Decision Making. John Wiley & Sons.
[76]. Lakshminarayanan, B., Pritzel, A., & Blundell, C. (2017). Simple and scalable predictive uncertainty estimation using deep ensembles. Advances in Neural Information Processing Systems (pp. 1-12).
[77]. Levy, M. (1997). Computer-Assisted Language Learning: Context and Conceptualization. Oxford University Press.
[80]. Luger, G. F. (1998). Artificial Intelligence: Structures and Strategies for Complex Problem Solving, 5/E. Pearson Education India.
[81]. Lyons, J. (1972). Human Language. Non-Verbal Communication.
[82]. Marr, B. (2019). Artificial Intelligence in Practice: How 50 Successful Companies Used AI and Machine Learning to Solve Problems. John Wiley & Sons.
[83]. Martin, S. M. (2019). Artificial Intelligence, Mixed Reality, and the Redefinition of the Classroom. Rowman & Littlefield.
[90]. Meyer-Baese, A., & Schmid, V. J. (2014). Pattern Recognition and Signal Analysis in Medical Imaging. Elsevier.
[91]. Milano, J., & Lembke, P. (2013). IBM System Blue Gene Solution: Blue Gene/Q hardware Overview and Installation Planning. IBM Redbooks.
[92]. Minsky, M. (2007). The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind. Simon and Schuster.
[94]. Neumann, O. (2016). Beyond capacity: A functional view of attention. In Perspectives on Perception and Action. Routledge.
[97]. Olatunde-Aiyedun, T. G. (2024). Artificial Intelligence (AI) in education: Integration of AI into science education curriculum in Nigerian Universities. International Journal of Artificial Intelligence for Digital, 1(1), 1-14.
[100]. Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial Intelligence in Education: Challenges and Opportunities for Sustainable Development. UNESCO.
[106]. Retto, J. (2017). Sophia, First Citizen Robot of the World. ResearchGate.
[107]. Rouhiainen, L. (2018). Artificial Intelligence: 101 Things You Must Know Today about Our Future. Lasse Rouhiainen.
[108]. Ryan, D. (2016). Understanding Digital Marketing: Marketing Strategies for Engaging the Digital Generation. Kogan Page Publishers.
[109]. Sanchez, E. (Ed.). (2006). Fuzzy Logic and the Semantic Web. Elsevier.
[117]. Sharma, M., Jindal, H., Kumar, S., & Kumar, R. (2021). Overview of data security, classification and control measure: A study. i-manager's Journal on Information Technology, 11(1), 1-17.
[119]. Shi, R., & Conrad, S. A. (2009). Correlation and regression analysis. Ann Allergy Asthma Immunol, 103(4), S34-S41.
[120]. Sloman, A., Chrisley, R., & Scheutz, M. (2005). The Architectural Basis of Affective States and Processes. Oxford University Press.
[121]. Sokoli, M. (2023). The Impact of Artificial Intelligence on Finance. International Business.
[123]. Song, Y., Schwing, A., & Urtasun, R. (2016, June). Training deep neural networks via direct loss minimization. In International Conference on Machine Learning (pp. 2169-2177). PMLR.
[132]. Tomlinson, C. A., Kaplan, S. N., Renzulli, J. S., Purcell, J. H., Leppien, J. H., Burns, D. E., ... & Imbeau, M. B. (2008). The Parallel Curriculum: A Design to Develop Learner Potential and Challenge Advanced Learners. Corwin Press.
[137]. Vlahos, J. (2019). Talk to Me: Amazon, Google, Apple and the Race for Voice-Controlled AI. Random House.
[139]. Webb, A. R. (2003). Statistical Pattern Recognition. John Wiley & Sons.
[148]. Zhu, X., & Goldberg, A. B. (2022). Introduction to Semi-Supervised Learning. Springer Nature.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.